Les protéines à domaine PDZ, en très grand nombre dans le génome humain, sont impliquées dans des interactions protéine-protéine. Elles participent ainsi à véhiculer des signaux à l’origine de différentes pathologies (cancer, douleur….). L’interruption de l’interaction entre la protéine à domaine PDZ, PSD-95, et le récepteur de la sérotonine, 5-HT2A, entraîne une réduction de l’hyperalgie chez le rat neuropathique. Le développement de molécules capables d’inhiber cette interaction pourrait donc conduire à une nouvelle classe d’antalgiques.Nous avons réalisé, au cours de ces travaux, la synthèse de trois générations de ligands, comportant un noyau indolique, capables d’interagir avec le site S0, site très conservé des protéines à domaines PDZ. Dans un premier temps, nous avons préparé 15 biligands possédant un noyau indolique polysubstitué lié, via un espaceur de longueur variable (2 à 6 atomes de carbone), à différents acides aminés, dans le but d’interagir avec le site S1, montrant beaucoup de diversité en fonction du domaine. Nous avons ensuite, après une étude de relation structure/activité, développé deux autres générations d’indoles polysubstitués présentant notamment des substituants hydrophobes en position 5.Nous avons montré, par RMN HSQC 1H/15N et chromatographie d’affinité, que deux de ces composés sont des inhibiteurs de l’interaction PSD-95/5-HT2A et présentent de fortes interactions avec le site S0 de PSD-95. Ces molécules présentent également des propriétés antalgiques particulièrement intéressantes in vivo. Nous avons également déterminé, par RMN NOESY, la structure du complexe protéine/ligand pour ces deux composés. L’orientation d’une de ces molécules dans le site de la protéine nous permet d’envisager le développement d’une nouvelle génération d’indoles polysubstitués, pouvant interagir avec le site S1 de la protéine et permettant ainsi d’obtenir des inhibiteurs sélectifs de l’interaction PSD-95/5-HT2A. / Protein-protein interactions play a central role in the regulation of biological processes and represent a promissing class of therapeutic targets. It has been recently reported that disrupting the interaction between the PDZ protein PSD-95 and the serotonin receptor 5-HT2A induced an antihyperalgesic effect in diabetic rats. In this context, the development of original ligands capable to inhibit specifically this interaction could lead to a new class of analgesic compounds.We carried out the synthesis of three generations of ligands possessing an indole moiety in order to interact with the highly conserved carboxylate-binding loop (GLGF loop) of PSD-95. Two generations of compounds were developed to find out the position and the nature of the substituents furnishing the best interactions. One generation consists of a family of 15 biligands possessing a substituted indole moiety, coupled with a linker (having from 2 to 6 carbon atoms) via an amid function, ended with various amino acids to interact with the S1 site of the protein, in order to obtain specific ligands.By various biological evaluations, NMR HSQC 1H/15N, chromatography affinity assays and in vivo experiments, we identified two promising inhibitors of the interaction PSD-95/5-HT2A with strong interactions with S0 site of PSD-95. For these compounds, we determined the structure of the complex protein/ligand by NMR NOESY experiments. The orientation of one of these molecules in the S0 site allows us to envisage a new generation of ligands capable to interact with the S1 site of the protein.

Proteins present at the synapse need to be multitasking in order to perform all vital functions in this limited space. In this thesis I have analyzed the function and evolution of such proteins, focusing on the PDZ domain and the paralemmin family. The PDZ domains bind to a wide variety of interaction partners. The affinity for each partner is regulated by residues at the binding site, but also through intradomain allostery. How this intradomain allostery is transferred to the binding site is not established. I here show that side chain interactions can explain all transfer of intradomain allostery in three analyzed PDZ domains. A circularly permuted PDZ domain has an identical set of amino acids as the original protein and a very similar structure with only a few perturbed side chains. By using the circular permutant I show that a slight alteration in the position of a side chain leads to a corresponding change in allosteric signal. I further study the folding of several PDZ domains and show that they all fold via a conserved folding mechanism, supporting the notion that the final structure has a part in deciding folding mechanism. The folding mechanism of the circularly permuted PDZ domain is conserved compared to the original protein illustrating how circular permutations can be tolerated through evolution. The multifunctionality of paralemmins probably lies in their highly flexible structures. I have studied the evolution of the paralemmins and found that the four mammalian paralemmins arose in the two whole-genome duplications that occurred early in the vertebrate evolution. The fact that all four paralemmins have survived evolution since the gene duplications suggests that they have important functions, possibly in the development of the nervous system. Synaptic proteins are crucial for many biological processes, and their misfolding implicated in many diseases. The results presented here shed light on the mechanisms of action of the synaptic proteins and will help us to understand how they generate disease.

The exeC gene, found in the gram-negative bacteria Aeromonas hydrophila codes for a 31 kDa, three domain, bitopic inner membrane protein. The components of the ExeC protein include an amino-terminal cytoplasmic domain, a trans-membrane helix and two periplasmic domains. The two periplasmic domains are involved in recognition and selection of protein substrates which are subsequently transported across the outer membrane and free of the cell. This study focuses exclusively on the two periplasmic domains referred to hereafter as the HR and the PDZ domains. Three constructs were used throughout the course of this study. Two of them were designed, cloned and expressed for this study. The third is a result of previous work. Two constructs contained both the HR and PDZ domains while the other consists of the amino-terminal periplasmic HR domain. Only one construct was used to grow single crystals for analysis by X-ray crystallography. Crystals comprised of the PDZ domain from a degraded construct grew in a hexagonal space group with a hexagonal bi-pyramidal morphology. Crystals diffracted anisotropically to a maximum resolutions of 2 Å along the c axis and 3 Å in the a/b plane. Anisotropy in combination with twinning drastically complicated structure solution. Efforts toward elucidating the crystal structure will be discussed.

Many protein-protein interactions, especially those involved in eukaryotic signalling, are mediated by PDZ domains through the recognition of hydrophobic C-termini. The availability of experimental PDZ interaction data sets have led to the construction of computational methods to predict PDZ domain-peptide interactions. Such predictors are ideally suited to predict interactions in single organisms or for limited subsets of PDZ domains. As a result, the goal of my thesis has been to build general predictors that can be used to scan the proteomes of multiple organisms for ligands for almost all PDZ domains from select model organisms. A framework consisting of four steps: data collection, feature encoding, predictor training and evaluation was developed and applied for all predictors built in this thesis. The first predictor utilized PDZ domain-peptide sequence information from two interaction data sets obtained from high throughput protein microarray and phage display experiments in mouse and human, respectively. The second predictor used PDZ domain structure and peptide sequence information. I showed that these predictors are complementary to each other, are capable of predicting unseen interactions and can be used for the purposes of proteome scanning in human, worm and fly. As both positive and negative interactions are required for building a successful predictor, a major obstacle I addressed was the generation of artificial negative interactions for training. In particular, I used position weight matrices to generate such negatives for the positive only phage display data and used a semi-supervised learning approach to overcome the problem of over-prediction (i.e. prediction of too many positives). These predictors are available as a community web resource: http://webservice.baderlab.org/domains/POW. Finally, a Bayesian integration method combining information from different biological evidence sources was used to filter the human proteome scanning predictions from both predictors. This resulted in the construction of a comprehensive physiologically relevant high confidence PDZ mediated protein-protein interaction network in human.

Many protein-protein interactions, especially those involved in eukaryotic signalling, are mediated by PDZ domains through the recognition of hydrophobic C-termini. The availability of experimental PDZ interaction data sets have led to the construction of computational methods to predict PDZ domain-peptide interactions. Such predictors are ideally suited to predict interactions in single organisms or for limited subsets of PDZ domains. As a result, the goal of my thesis has been to build general predictors that can be used to scan the proteomes of multiple organisms for ligands for almost all PDZ domains from select model organisms. A framework consisting of four steps: data collection, feature encoding, predictor training and evaluation was developed and applied for all predictors built in this thesis. The first predictor utilized PDZ domain-peptide sequence information from two interaction data sets obtained from high throughput protein microarray and phage display experiments in mouse and human, respectively. The second predictor used PDZ domain structure and peptide sequence information. I showed that these predictors are complementary to each other, are capable of predicting unseen interactions and can be used for the purposes of proteome scanning in human, worm and fly. As both positive and negative interactions are required for building a successful predictor, a major obstacle I addressed was the generation of artificial negative interactions for training. In particular, I used position weight matrices to generate such negatives for the positive only phage display data and used a semi-supervised learning approach to overcome the problem of over-prediction (i.e. prediction of too many positives). These predictors are available as a community web resource: http://webservice.baderlab.org/domains/POW. Finally, a Bayesian integration method combining information from different biological evidence sources was used to filter the human proteome scanning predictions from both predictors. This resulted in the construction of a comprehensive physiologically relevant high confidence PDZ mediated protein-protein interaction network in human.

Le domaine PDZ participe aux réseaux moléculaires à l’origine de fonctions cellulaires touchées lors de pathologies diverses. L’exploration de ce réseau par double hybride a permis d’attribuer de nouvelles fonctions putatives aux ligands protéiques des domaines PDZ du ver Caenorhabditis elegans. Les interactions ont laissé apparaitre une proportion inattendue de ligands atypiques interagissant par une séquence interne. Nous avons ensuite validé fonctionnellement in silico des groupes d’interactions de notre interactome qui forment des micro-réseaux co-exprimés par l’intégration de données de profils d’expression. Finalement, ce travail a permis la construction d’un outil exploratoire, le PIPE (PDZ Interacting Protein Explorer) qui permet de cribler l’ensemble des domaines PDZ du ver à la recherche d’interactions avec une protéine d’intérêt révélant déjà de nombreuses interactions supplémentaires entre domaines PDZ et ligands / PDZ domains allow the organization of molecular networks responsible for cellular functions essential for multicellularity as polarization or transduction of extracellular signals. Exploration of this network by two-hybrid revealed a functional diversity for ligands of Caenorhabditis elegans’s PDZ domains. New putative functions were being observed through GO-terms and an unexpected proportion of internal ligands appeared, confirmed by Co-IP. We then functionally validated in silico groups of interactions that form our interactome microarrays co-expressed by the integration of data from expression profiles. Finally, this work has enabled the construction of an exploratory tool, the PIPE (PDZ Interacting Protein Explorer) that allows screening of all PDZ domains looking for interactions with a protein of interest and had already showed many additional interactions between PDZ domains and ligands

Abstract The Z-disk is a sophisticated structure that connects adjacent sarcomeres in striated muscle myofibrils. α-Actinin provides strength to the Z-disks by crosslinking the actin filaments of adjacent sarcomeres. α-Actinin is an antiparallel homodimer, composed of an N-terminal actin binding domain (ABD), the central rod domain, and two pairs of C-terminal EF-hands. The PDZ-LIM domain proteins interact with α-actinin at the Z-disk. Of these proteins, only the actinin-associated LIM protein (ALP), Z-band alternatively spliced PDZ-containing protein (ZASP/Cypher) and C-terminal LIM protein (CLP36) have a ZASP/Cypher-like (ZM) motif consisting of 26-27 conserved residues in the internal region between the PDZ and LIM domains. The aim of this work was to understand the molecular interplay between the ZM-motif containing members of the PDZ-LIM proteins and α-actinin. To unveil the biological relevance of the interaction between the PDZ-LIM proteins and α-actinin, naturally occurring human ZASP/Cypher mutations were analyzed. Two interaction sites were found between ALP, CLP36 and α-actinin using recombinant purified proteins in surface plasmon resonance (SPR) analysis. The PDZ domain of ALP and CLP36 recognized the C-terminus of α-actinin, whereas the internal regions bound to the rod domain. Further characterization showed that the ALP internal region adopts and extended conformation when interacting with α-actinin and that the ZM-motif partly mediated the interaction, but did not define the entire interaction area. ZASP/Cypher also interacted and competed with ALP in binding to the rod domain. The internal fragments containing the ZM-motif were important for co-localization of ALP and ZASP/Cypher with α-actinin at the Z-disks and on stress fibers. The absence of ALP and ZASP/Cypher in focal contacts indicates that other interacting molecules, for instance vinculin and integrin, may compete in binding to the rod in these areas or additional proteins are required in targeting to these locations. The co-localization of the ZASP/Cypher with α-actinin could be released by disrupting the stress fibers leading to an accumulation of α-actinin in the cell periphery, whereas ZASP/Cypher was not in these areas. This suggests that an intact cytoskeleton is important for ZASP/Cypher interaction with α-actinin. Earlier studies have shown that mutations in the ZASP/Cypher internal region are associated with muscular diseases. These mutations, however, did not affect ZASP/Cypher co-localization with α-actinin or the stability of ZASP/Cypher proteins. The Z-disk possesses a stretch sensor, which is involved in triggering hypertrophic growth as a compensatory mechanism to increased workloads. α-Actinin is a docking site of molecules that are involved in hypertrophic signaling cascades mediated by calsarcin-calcineurin and protein kinase C (PKC) isoforms. The internal interaction site may be involved in targeting PKCs, which bind to the LIM domains of ZASP/Cypher, to the Z-disks. The similar location of the internal interaction site with calsarcin on the rod suggests that ZASP/Cypher, ALP and CLP36 may regulate calsarcin-mediated hypertrophic signaling.

Second phase particles play an important role in the recrystallization of aluminium alloys. They give rise to high level of local lattice misorientation around the particle, in particle deformation zone (PDZ) during processing. These can act as potent nucleation sites for new recrystallized grains in a process known as particle stimulated nucleation (PSN). This mechanism is essential to produce material with a more random texture and small grain size, which helps e.g. ductility and formability. A new HRDIC technique is used here in combination with EBSD to investigate the evolution of deformation structures by linking the local deformation (by Digital Image Correlation, DIC) to the lattice orientation before and after deformation by EBSD measurements and compared with the CPFEM predictions. The results show that strain is very heterogeneous during deformation and concentrates mainly in slip bands. The spacing between these bands is affected by several factors: applied strain, crystallographic orientation and the existence of small dispersoids. Thus, the relationship between the strain, particle size and rotation in the deformation zone is much more complex than predicted by existing models.

Les interactions protéine-protéine (IPPs), complexes et dynamiques, sont le cœur des réseaux protéiques cellulaires. Au niveau des synapses excitatrices, la densité post-synaptique (PSD) est un exemple typique de réseau protéique dont la structure et la composition à l’échelle nanoscopique détermine la fonction cellulaire. Ainsi, la régulation dynamique de la composition de la PSD et des mouvements des récepteurs au glutamate dans ou hors de la PSD constitue la base des théories moléculaires actuelles sur l’apprentissage et la mémoire. Dans ce contexte, durant ma thèse, j’ai étudié une classe d’IPPs faisant intervenir les domaines PDZ. En effet, durant ces dernières années, de nombreuses études ont démontré l’implication de ces interactions impliquant les domaines PDZ de la famille de PSD95 dans le ciblage synaptique et l’ancrage des récepteurs au glutamate. Cependant, en partie dû au manque d’outils adaptés, les mécanismes moléculaires sous-jacents qui contrôlent de façon dynamique leur rétention à la synapse restent mal compris. Dans le but d’étudier ces interactions impliquant des domaines PDZ, j’ai développé plusieurs stratégies de sélection par phage display basées sur l’utilisation du dixième domaine de type III de la fibronectine humaine (10Fn3) dans le but de cibler les motifs d’interaction aux domaines PDZ des récepteurs (Stargazin pour les rAMPA et GluN2A pour les rNMDA) ou les domaines PDZ eux-mêmes. En utilisant une approche multidisciplinaire, mes objectifs principaux ont été de concevoir de petits anticorps synthétiques qui nous permettront de rompre ou de stabiliser spécifiquement ces complexes protéiques, ainsi que d’observer les interactions endogènes. / Complex and dynamic protein-protein interactions are the core of protein-based networks in cells. At excitatory synapses, the postsynaptic density (PSD) is a typical example of protein-based network whose nanoscale structure and composition determines the cellular function. For instance, the dynamic regulation of PSD composition and glutamate receptors movements into or out of the PSD are the base of current molecular theories of learning and memory. In this context, during my PhD, I focused on a class of protein-protein interactions mediated by PDZ domains. Indeed, over the last decade, numerous studies have shown the critical implication of PDZ domain-mediated interactions from the PSD95 scaffolding protein family in the synaptic targeting and anchoring of glutamate receptors. However, in part due to the lack of adapted tools, the molecular mechanisms that dynamically govern their respective synaptic retention remain poorly understood. In order to investigate these PDZ domain-mediated interactions, I developed several selection strategies by phage-display based on the fibronectin type III (FN3) scaffold in order to either target the PDZ domain-binding motifs of the receptors complexes (e.g., stargazin for AMPARs and GluN2A for NMDARs) or the PDZ domains themselves. Using a multidisciplinary approach, my main objectives were to engineer small synthetic antibodies that will allow us to acutely and specifically disrupt or stabilize these protein complexes, as well as monitor endogenous interactions.

NG2 is a transmembrane glycoprotein mainly expressed in developing tissue, and often re-expressed in tumor cells. NG2 glycoprotein is an important regulator of cell migration and adhesion. Increased expression of NG2 enhances the metastatic potential of cancer cells. However, the molecular mechanisms of these processes are still not fully understood. An increasing number of evidences, in recent years, have shown that NG2 can be responsible for Rho/ROCK activation, which is essential for effective amoeboid invasiveness. In this thesis, we analysed the role of NG2 glycoprotein, especially the role of its PDZ- binding motif on amoeboid phenotype induction, and activation of Rho/ROCK signaling. Our results demonstrate the importance of the NG2 PDZ-binding motif on mesenchymal- amoeboid transition of cells in a 3D environment. Surprisingly, they show that the expression of both the NG2 cytoplasmatic domain and the truncated version, lacking the PDZ-binding motif, do not change the amount of Rho-GTP or the activation of the Rho/ROCK signaling pathway in 2D.